I've shared a bunch of notes on MLX over the past year, many of them with snippets of code I've used to try out models: https://simonwillison.net/tags/mlx/

I mainly use MLX for LLMs (with https://github.com/ml-explore/mlx-lm and my own https://github.com/simonw/llm-mlx which wraps that), vision LLMs (via https://github.com/Blaizzy/mlx-vlm) and running Whisper (https://github.com/ml-explore/mlx-examples/tree/main/whisper)

I haven't tried mlx-audio yet (which can synthesize speech) but it looks interesting too: https://github.com/Blaizzy/mlx-audio

The two best people to follow for MLX stuff are Apple's Awni Hannun - https://twitter.com/awnihannun and https://github.com/awni - and community member Prince Canuma who's responsible for both mlx-vlm and mlx-audio: https://twitter.com/Prince_Canuma and https://github.com/Blaizzy